28:23

How to recreate a WEB DuBois area plot from the 1900 Paris Exposition using R and ggplot2 (CC341)

52:15

How to recreate WEB DuBois's Panel 12 from the 1900 Paris Exposition using R and ggplot2 (CC340)

36:28

Using gganimate to animate changes in life expectancy and health care spending with R (CC339)

54:44

Using ggplot2 to visualize relationship between life expectancy and health spending in R (CC338)

48:55

Using dplyr & ggplot2 to make kindergarten vaccination rates a bit more interesting with R (CC337)

49:32

Visualizing changes in kindergarten vaccination rates with dplyr and ggplot2 in R (CC336)

44:30

Using readxl and dplyr to format messy data to see change in poverty with R (CC335)

59:45

Using ggplot2 to quantify the change in the US poverty rate over the last 65 years in R (CC334)

42:12

Positron or RStudio? First time Positron user creates scatter plot with R's ggplot2 package (CC333)

34:45

Recreating a New York Times bar chart using the ggplot2 R package (CC332)

42:40

Recreating a side-by-side line plot from CNN using patchwork and ggplot2 in R (CC331)

44:52

Creating side-by-side line plots with ggplot2's facet_grid function in R (CC330)

47:22

Visualizing polling bias from the 2024 US presidential election in R with ggplot2 (CC329)

53:25

Recreating gradient colored lines in R with ggforce's geom_link function (CC328)

01:14:18

Combining animations of cross country running with ggplot2, gganimate, and magick R packages (CC327)

37:43

Faceted log-scaled line plot with error bars using stat_summary from ggplot2 in R (CC326)

36:50

Adding log-scaled tick marks to an axis with ggplot2 in R (CC325)

29:56

Plotting a dilution series using ggplot2 in R with geom_jitter and stat_summary (CC324)

30:38

Recreating published boxplots from a dilution series using ggplot2 in R (CC323)

30:54

Data journalism makeover with ggplot2 in R to make labelled line plot with google fonts (CC322)

42:09

Using ggplot2 and R to recreate a data journalist's figure about Michigan wages (CC321)

30:58

Going for simple with ggplot2 and dplyr (CC320)

38:52

Adding patterns to barplots with ggpattern and ggplot2 in R (CC319)

34:14

Creating bar plot with error bars using ggplot2's stat_summary in R (CC318)

22:59

Putting a break in the x-axis using facet_grid from ggplot2 R package (CC317)

34:17

Creating a broken x-axis using only the ggplot2 package in R (CC316)

22:18

Recreating a Venn diagram with geom_ribbon from ggplot2 in R (CC315)

24:52

Recreating a Venn diagram with ggplot2 in R as a scatter plot (CC314)

28:33

Making a labelled slope plot with the help of R's ggrepel and ggplot2 (CC313)

30:16

Making a labelled scatter plot with the help of R's ggrepel and ggplot2 (CC312)

29:27

Using ggplot2's facet_wrap to create three panelled figure in R (CC311)

31:05

Composing two box plots with significance lines in R's ggplot2 and patchwork (CC310)

24:42

Data viz make over from bar plot to dot plot with ggplot2 in R (CC309)

47:05

Recreating a grouped and labelled barplot in R with ggplot2 (CC308)

27:51

Converting a 1D scatter plot to a histogram or density plot using the ggplot2 package in R (CC307)

59:57

Submitting an R package to CRAN with help from the devtools package (CC306)

30:07

Customizing axes in a 1D scatter plot using the ggplot2 package in R (CC305)

33:32

Comparing and optimizing performance of phyloytypr to mothur (CC304)

27:49

Closing issues on GitHub when building R packages with test driven development (CC303)

25:39

The effect of debug mode when benchmarking R package performance (CC302)

38:16

Using the precommit R package to automate testing code and documentation quality(CC301)

34:30

Using lintr and styler to improve the quality and readability of R code (CC300)

24:51

How to use GitHub actions to build on other operating systems and test code coverage (CC299)

34:44

How to create a website for your R package with pkgdown (CC298)

36:31

How to create a vignette for an R package (CC297)

38:08

How to create a data only R package with devtools (CC296)

17:13

How to delete large files from your git/GitHub commit history (CC295)

31:40

Adding built in data to an R package (CC294)

39:41

Using Roxygen2 to document functions in an R package (CC293)

34:58

Benchmarking R functions for joining data frames (CC292)

38:11

Benchmarking R functions for reading tsv files (CC291)

33:58

Benchmarking methods for reading text files in R (CC290)

41:37

Writing an R function to read FASTA-formatted files (CC289)

26:30

Incorporating C++ code in an R package with Rcpp and devtools (CC288)

31:16

Integrating ideas from Stack Overflow to improve our R code (CC287)

23:26

Using R's profvis package to diagnose and resolve bottlenecks (CC286)

29:23

Base R's paste and paste0 functions: how to use the sep and collapse arguments (CC285)

34:46

Finding the consensus classification using anonymous functions (CC284)

34:30

Generating and classifying bootstrap replicates with test driven development (CC283)

40:52

base R, stringi, and stringr: Benchmarking string manipulations with (CC282)